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确定多分类器融合中模糊测度的一种新方法
引用本文:段宝彬,孙梅兰.确定多分类器融合中模糊测度的一种新方法[J].洛阳师范学院学报,2007,26(5):34-36.
作者姓名:段宝彬  孙梅兰
作者单位:合肥学院数理系,安徽合肥,230601
摘    要:为了解决多分类器融合中确定模糊测度困难的问题,本文提出了一种简单实用的方法:先利用基于模糊一致矩阵的决策方法计算各分类器的主观模糊密度值,然后将其与作为客观模糊密度值的分类器识别率进行组合得到各分类器的综合模糊密度值,进而确定出相应的模糊测度值。

关 键 词:模糊测度  模糊一致矩阵  主客观相结合  模糊密度
文章编号:1009-4790(2007)05-0034-03
修稿时间:2007-05-14

A New Method for Determining Fuzzy Measure for Multi-Classifier Fusion
DUAN Bao-bin,SUN Mei-lan.A New Method for Determining Fuzzy Measure for Multi-Classifier Fusion[J].Journal of Luoyang Teachers College,2007,26(5):34-36.
Authors:DUAN Bao-bin  SUN Mei-lan
Institution:Department of Mathematics and Physics, Hefei University, Hefei 230601, China
Abstract:To solve the problem of difficulty in determining fuzzy measure for multi-classifier fusion,we first computed the subjective fuzzy density value of each classifier by means of decision making method based on fuzz- y consistent matrix,then combined it with the recognition rate of each classifier,the objective fuzzy density val- ue.In this way,we can obtain the synthesis fuzzy density values of all classifier and determine the corresponding fuzzy measure values needed.The method for determining fuzzy measure in this paper is simple and practical.
Keywords:fuzzy measure  fuzzy consistent matrix  combining the subjectivity with the objectivity  fuzzy density
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